browser_resume
A execute tool on the Playwright MCP server.
This record as markdown: /tools/hanato238-playwright-mcp/browser-resume.md
What browser_resume does on Playwright
AI agents invoke browser_resume to trigger actions in Playwright. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why browser_resume is rated High
Given the context of a Playwright browser automation server with sibling tools like browser_click, browser_close, browser_drag, 'browser_resume' most likely resumes a paused browser session or execution flow. This is an execution-type action (triggering browser operations), but the empty description lowers confidence.
From the tool's definition Tool name 'browser_resume' on a browser automation MCP server; description is empty and uninformative.
Attacks that exploit this kind of access
The rule that runs browser_resume safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Playwright, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For browser_resume, this is the rule to start with:
browser_resume stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Playwright, apply this rule, and every browser_resume call is checked against it from then on.
Questions about browser_resume
browser_resume is a execute tool on the Playwright MCP server. It is categorised as a Execute tool in the Playwright MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Playwright MCP server in PolicyLayer and add a rule for browser_resume: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Playwright. Nothing to install.
browser_resume is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the browser_resume rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for browser_resume. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
browser_resume is provided by the Playwright MCP server (hanato238/playwright-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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